Earlier quoted context omitted.
If you ask humans to explain why we did something, Sperry's split brain experiment gives reason to think you can't trust our accounts of why we did something either (his experiments showed the brain making up justifications for decisions it never made) Bit it can still be useful, as long as you interpret it as "which stimuli most likely triggered the behaviour?" You can't trust it uncritically, but models do sometime…
I agree that the model can help troubleshoot and debug itself. I argue that the model has no access to its thoughts at the time. Split brain experiments notwithstanding I believe that I can remember what my faulty assumptions were when I did something. If you ask a model “why did you do that” it is literally not the same “brain instance” anymore and it can only create reasons retroactively based on whatever context i…
An AI agent deleted our production database. The agent's confession is below
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Re: An AI agent deleted our production database. The agent's confession is below
#212He describes himself among other things as "Entrepreneur who has failed more times than I can count". count++
Re: An AI agent deleted our production database. The agent's confession is below
#213It is fundamental to language modeling that every sequence of tokens is possible. Murphy's Law, restated, is that every failure mode which is not prevented by a strong engineering control will happen eventually. The sequence of tokens that would destroy your production environment can be produced by your agent, no matter how much prompting you use. That prompting is neither strong nor an engineering control; that's a…
> It is fundamental to language modeling that every sequence of tokens is possible. This is just trivially wrong that I don't understand why people repeat it. There are many valid criticisms of LLM (especially the LLMs we currently have), this isn't one of them. It's akin to saying that every molecules behave randomly according to statistical physics, so you should expect your ceiling to spontaneously disintegrate an…
I'd be interested in hearing this argument.
To address your chemistry example; in the same way that there is a process (the averaging of many random interactions) that leads to a deterministic outcome even though the underlying process is random, a sandbox is a process that makes an agent safe to operate even though it is capable of producing destructive tool calls.
Re: An AI agent deleted our production database. The agent's confession is below
#214There is something darkly comical about using an LLM to write up your “a coding agent deleted our production database” Twitter post. On another note, I consider users asking a coding agent “why did you do that” to be illustrating a misunderstanding in the users mind about how the agent works. It doesn’t decide to do something and then do it, it just outputs text. Then again, anthropic has made so many changes that ma…
If you ask humans to explain why we did something, Sperry's split brain experiment gives reason to think you can't trust our accounts of why we did something either (his experiments showed the brain making up justifications for decisions it never made) Bit it can still be useful, as long as you interpret it as "which stimuli most likely triggered the behaviour?" You can't trust it uncritically, but models do sometime…
Re: An AI agent deleted our production database. The agent's confession is below
#215Re: An AI agent deleted our production database. The agent's confession is below
#216Re: An AI agent deleted our production database. The agent's confession is below
#217Earlier quoted context omitted.
I agree that the model can help troubleshoot and debug itself. I argue that the model has no access to its thoughts at the time. Split brain experiments notwithstanding I believe that I can remember what my faulty assumptions were when I did something. If you ask a model “why did you do that” it is literally not the same “brain instance” anymore and it can only create reasons retroactively based on whatever context i…
Claude code and codex both hide the Chain of Thought (CoT) but it's just words inside a set of tags and the agent within the same session has access to that plaintext.
Re: An AI agent deleted our production database. The agent's confession is below
#218Earlier quoted context omitted.
How do you know what the probability is?
just ask claude, claude will never lie (add "make not mistakes" and its 100% )
You’re absolutely right the probability is low. According to my calculations, you’re more likely to get struck by lightning twice on the same day and drown in a tsunami.
Re: An AI agent deleted our production database. The agent's confession is below
#219Earlier quoted context omitted.
There was practically no responsibility taken by the author, all blame on others. It was kind of shocking to read. Anyone using these tools should absolutely know these risks and either accept or reject them. If they aren't competent or experienced enough to know the risks, that's on them too.
And it doesn't even have to do with these tools in the end, this is a disaster recovery issue at its root. If you are a revenue generating business and using any provider other than AWS or GCP and you don't have an off prem/multi-cloud replica/daily backup of your database and object store, you should be working on that yesterday. Even if you are on one of the major cloud providers and trust regional availability, yo…
Re: An AI agent deleted our production database. The agent's confession is below
#220The most aggravating fact here is not even AI blunder. It's how deleting a volume in Railway also deletes backups of it. This was bound to happen, AI or not. > Because Railway stores volume-level backups in the same volume — a fact buried in their own documentation that says "wiping a volume deletes all backups" — those went with it.